Lead Site Reliabilities Engineer

Job Description

Our PurposeWe work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team one that makes better decisions, drives innovation and delivers better business results.Job TitleLead Site Reliability Engineer OverviewMastercard is the global technology company behind the world s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless . We ensure every employee can be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.Data Engineering and platform under Data Platform and Engineering service program is focused on enabling insights into Mastercard network and help build data-driven products by curating and preparing data in a secure and reliable manner. Moving to a Unified and Fault-Tolerant Architecture for Data Ingestion and Processing is critical to achieving this mission.As a Lead Site Reliability / DevOps Engineer in Data Platform and Engineering service program, you will have the opportunity to build high performance data pipelines to load into Mastercard Data Warehouse. Our Data Warehouse provides analytical capabilities to number of business users who help different customers provide answer to their business problems through data. You will play a vital role within a rapidly growing organization, while working closely with experienced and driven engineers to solve challenging problems.Your Role Partner on the design and implementation of Mastercard global data and insight architecture, building data ingestion and processing capabilities, and operationalizing Unified Data Acquisition and Processing (UDAP) platform Identify and resolve performance bottlenecks either proactively Explore automation opportunity and develop tools to automate some of the day to day operations tasks Provide performance metrics and maintain dashboards to reflect production systems health Conceptualize and implement proactive monitoring where possible to catch issues early Experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines. Work with cross functional agile teams to drive projects through full development cycle. Collaborate with other data engineering teams to improve the data engineering ecosystem and talent within Mastercard. Creatively solve problems when facing constraints, whether it is the number of developers, quality or quantity of data, compute power, storage capacity or just time. Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing.All About You At least Bachelors degree in Computer Science, Computer Engineering or Technology related field or equivalent work experience Experience in Data Warehouse related projects in product or service-based organization Experience as a Site Reliability Engineering or DevOps Engineer Experience overall with experience as a software engineer or software architect Experience solving for scalability, performance and stability Expert knowledge of Linux operating systems and environment and Scripting (Shell and Python preferred) A deep expertise in your field of Software Engineering Expert at troubleshooting complex system and application stacks Operational Experience in Big Data Stacks ( Hadoop ecosystem, Spark is a plus) Operational Experience in real-time ,streaming and data pipelines relevant frameworks ( Kafka and NiFi is a plus) Operational experience troubleshooting network/server communication Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts Expertise in enterprise metrics/monitoring with frameworks such as Splunk, Druid, Grafana Experience with cloud computing services, particularly deploying and running services in Azure or AWS Knowledge on container solution (Docker, Kubernetes) A belief in data driven analysis and problem solving and a proven track record in applying these principles An organized approach the planning and execution of major projectsCOVID-19 Considerations We value the safety of each member of our community because we know we re all in this together. In many locations, which may change over time, we ve implemented a virtual hiring process and continue to interview candidates by video or phone. In addition, in some locations, only individuals who have been fully vaccinated will be permitted inside Mastercard offices until further notice.In the US, Mastercard is a government contractor, which may legally require most Mastercard employees to be vaccinated unless a verified approved medical or religious exemption is granted. Further, we are currently making every effort towards having employees return to work in the office 2 days per week, if that makes sense for their team. Everyone must be vaccinated to enter Mastercard offices at this time. Therefore, we expect all candidates to be vaccinated or to be approved for a medical or religious accommodation prior to commencing work at Mastercard.Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
• Abide by Mastercard s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard s guidelines.
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Keyskills :
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